{"id":"W6962045428","doi":"10.15468/dl.m4re6h","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Data collection; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00102907,0.001928167,0.001587081,0.005663385,0.0008936824,0.002377127,0.002652451,0.00184532,0.1610211],"category_scores_gemma":[0.005755017,0.000896144,0.001115296,0.01067947,0.0004355974,0.002172124,0.002559959,0.001968233,0.2224145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503219,"about_ca_system_score_gemma":0.002252313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01845368,"about_ca_topic_score_gemma":0.03118983,"domain_scores_codex":[0.998877,0.0001504405,0.0001471688,0.0003705693,0.0002699466,0.0001848816],"domain_scores_gemma":[0.9971755,0.0007347603,0.0002860719,0.0007698246,0.0006962424,0.0003376416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000310235,0.00001148567,0.0003723238,0.0005035516,0.00001422899,0.00001357395,0.00002075024,0.0001178792,0.0001294378,0.0003484152,0.996868,0.001569298],"study_design_scores_gemma":[0.00006801643,0.00000862945,0.002093608,0.0001704804,0.00001305922,0.00003389326,0.00006520398,0.0001279687,0.0002063263,0.0006817225,0.9965148,0.00001624792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003966075,0.00002243903,0.000035773,0.00002862727,0.000009045229,0.000005077864,0.998973,0.0003145022,0.000571936],"genre_scores_gemma":[0.0001441717,0.00002801026,0.0001700612,0.00003421441,0.000002968303,0.0000369698,0.9990315,0.0001177388,0.0004342544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389789,"threshold_uncertainty_score":0.5386693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}